Neo4j Live: Valkompass.ai – Mapping Political Insight with Graphs & AI
How can we use graphs and AI to bring transparency to politics?
In this live session, we’ll dive into Valkompass.ai - an open-source project that uses Neo4j and Gemini to connect and analyze political data from Sweden’s parties. From election manifestos to parliamentary votes, Valkompass.ai turns complex, unstructured information into a knowledge graph you can query and converse with.
We’ll explore how this system models political relationships, applies AI reasoning over connected data, and helps citizens and journalists navigate policies with context and clarity.
Guest: Emil Wåreus
Valkompass: https://www.valkompass.ai/
Github: https://github.com/valkompass-ai/valkompass-ai
Chapters
- 00:00Intro & welcome to Neo4j Live with Emil Wåreus
- 02:06Background: Hackathon origins of Valkompass
- 04:00Emil’s journey from startup founder to new AI venture
- 08:18Why Valkompass: tackling bias and political transparency with AI
- 10:19How Valkompass works: analyzing party programs using Neo4j & Gemini
- 12:27Extending the graph: votes, debates, and historical political data
- 17:00Discussion: transparency, trust, and fact-checking in politics
- 21:15Technical deep dive: building Valkompass with Neo4j knowledge graphs
- 26:45Live demo: querying Swedish political positions & comparisons
- 33:06Data pipeline & verification via GitHub and open data sources
- 45:00Graph modeling: parties, topics, and relationships for accuracy
- 53:20Guardrails, bias handling & community-driven transparency
- 59:10WrapUp
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